Ferdinand Kahenga

FedFaSt: Selective Federated Learning Using Fittest Parameters Aggregation and Slotted Clients Training

2023

This paper proposes a novel selective federated learning (FL) algorithm, called fittest aggregation and slotted training (FedFaSt). It relies on a “free-for-all” client training process to score clients' efficiency while applying the “natural selection” principle …